Professional Informatics Studies (3-year studies) (courses offered in Macedonian)
Professional Informatics Studies
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Резултати од пребарување
27/02/2023
Ни претставува особена чест и задоволство да ве поканиме на гостинското предавање на проф. д-р Јасминка Матевска од HS-Bremen на тема
Software Systems Engineering for Space Missions
кое ќе се одржи на 02.03.2023 (четврток) со почеток од 14:00 часот во Амфитеатарот на ФИНКИ.
Abstract
Modern Space Systems are highly autonomous systems, thus can be considered "flying computers". Software is used to manage the spacecraft by controlling and commanding almost each of its subsystems. Depending on the mission, software performs the management functions autonomously or by providing command and control interfaces for ground control or crew. Complex ground simulation and testing facilities are used for engineering, testing and qualification of the spacecraft. In order to plan, engineer and operate a space mission, ground stations and mission control systems including complex distributed software and communication systems are used. Huge amount of data is transferred, processed and stored during preparation and operation of each space mission. The necessary system of systems shall be designed starting with the mission definition and considering the overall mission requirements. Defining the requirements, designing, testing and implementing of the onboard and ground software systems is a co-engineering activity between different system engineering disciplines and requires intensive collaboration and understanding of the system design, engineering process and the concept of operations.
This talk will give an insight into the practical aspects of software systems engineering for enabling and supporting space missions.
Bio
Prof. Dr.-Ing. Jasminka Matevska is a professor at the City University of Applied Sciences, in Bremen, Germany. Her research interests are toward software and systems engineering particularly in the area of space systems. Jasminka Matevska has graduated at the Faculty of Electrical Engineering, Ss. Cyril and Methodius University is Skopje and continued her education in Germany. Prior to the professor position, Jasminka Matevska was also teaching and research assistant at the University of Oldenburg and University of Applied Science Gelsenkirchen. In her career she has also worked on number of projects among which the Columbus Project (COL) of the International Space Station (ISS) Program (Joint Station LAN (JSL), Columbus Multi-Purpose Computer and Communication Service (MPCC), Crew User Interface System Enhancement (CRUISE), Operations Architect of the European Data Relay Satellite (EDRS)-C Project.
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Табови
Ljupcho Antovski Ph.D.
Табови
д-р Љупчо Антовски
Табови
д-р Горан Велинов
14/03/2023
Во BI&DWH има седум отворени позиции:
Data Analyst
What you do
Producing reports using data collected from different databases
Data analysis and troubleshooting
Analyzing requests from other business units and translating them into coherent and easily presentable reports
Create dashboards that consolidate and organize business KPIs that are informative, intuitive, and actionable using modern visualization tools
Reviewing and validating data quality
What you offer
Strong analytical skills to help collect, measure, organize and analyze data
SQL knowledge
Knowledge of data visualization tools (like Microsoft Power BI)
Knowledge of Data Warehouse, databases and ETL processes
Self – Starter
Curious and forward-looking
Agile and responsive
An understanding of the ethics of gathering and working with sensitive or confidential data
DWH Developer
What you do
Thorough understanding of Data warehousing concepts
Develop, improve, test and integrate ETL Data Warehouse and Business Intelligence Solutions
Building dimensional models based on user requirements
Identifying data sources and working with source system team and data analysts to define data target solutions
End to end responsibility for specification and implementation for various areas in DWH model for tel-co industry
What you offer
University Degree - IT, mathematics, telecommunications or similar
Relevant working experience in DWH/BI environment
Good knowledge in writing complex queries in SQL
Understanding of Data Models: Conceptual, Logical, and Physical & Dimensional/Relational Data Model Design.
Proficient in ETL development tools for Teradata (Fast Load, BTEQ, Fast Export)
Data Engineer
What you do
Design, create and maintain data architectures that enable data extraction and transformation for predictive modeling
Design, implement, test, deploy, and maintain batch and stream data processing solutions
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Build cloud, scalable, real time, and high-performance data lake solutions using Azure stack
Maintain data dictionary documentation on ML datasets
Create data tools for analytics and data scientist team members
What you offer
Degree in Computer Science or related fields
Advanced SQL proficiency
Knowledge of scripting languages (e.g. python, bassh, shell)
Experience building and optimizing data pipelines, architectures and datasets
Experience with cloud platforms (MS Azure, AWS, Google Cloud)
Experience with data pipeline and workflow management tools (e.g. Data Factory, Informatica, SSIS, Pentaho…)
Design and development of ETL/ELT workflows
Familiarity with source control tools (e.g. Gitlab, Github, Bitbucket) and CI/CD process
Strong problem-solving skills
Plus points:
Knowledge of Azure services- Synapse, Data Factory, AML Studio, Azure Data Lake, Azure Databricks
Hands-on experience on big data frameworks like Spark, Kafka
Experience working on real-time data and streaming applications
Knowledge of python and python data packages (e.g. numpy, pandas…)
Machine learning concepts
Customer Service Data Analyst
What you do
Explore creative and innovative ways to make customer feedback more accessible, more accurate, and more meaningful.
Innovate and experiment with ways of collecting, measuring, and examining data that lead to useful analysis and business insights, detect customer pain points and customer needs to improve customer experience.
Design and develop useful metrics, predictive models, dashboards, analysis, and data reporting to support a variety of Customer Service needs.
Builds tools to bring customer insights to drive data-driven actions.
Create presentations that simplify complex ideas, focus on actionable results/insights, and showcase the power of customer data for better customer experience.
What you offer
Strong background in statistics and data analysis
Strong applied mathematical, statistical, and analytical skills to design and interpret predictive, descriptive, and inferential statistics
Data visualization aptitude using both quantitative and qualitative data
Demonstrated experience with business intelligence visualization tools
(e.g., Qlik Sense, Tableau, or Power BI)
Intermediate MS Office skills, especially Excel and PowerPoint
Strive for higher levels of achievement and ability
Digital Transformation Specialist
What you do
Create, develop and articulate a vision, strategy and roadmap for delivering the best customer experience on the web and online platforms.
Build consensus and alignment with cross-functional team, buy in from stakeholders and senior leadership.
Integrate usability studies, research and market analysis, into product requirements to drive impactful, premium user experiences.
Gather, analyze and document customer’s business requirements including information on products and services offered by competitors.
Understand market needs and user pain points and translate them into product solutions and write the product requirements.
Translate requirements and specifications for new features into user stories and associated acceptance criteria, and partner with design, engineering and analytics to follow through to execution.
Define and analyze metrics that inform the success of products, discover optimization opportunities, hypothesize, and launch A/B tests to inform product decisions.
Measure post-delivery performance and optimize to drive customer experience benefit and cost savings.
Lead cross-functional commercial and IT teams in local and A1 Group-driven projects.
What you offer
2+ years of web product development experience;
Experience in working with partners, vendors and stakeholders;
Experience in making data-driven decisions (A/B experimentation, user testing, data analysis, competitors and market analysis, defining metrics);
Experience with UX, user flows, wireframes and prototyping;
Experience in Agile/Scrum and traditional SDLC methodologies;
Fluency in JIRA, MS Office and Analytic tools (Google Analytics preferred);
Degree with focus on E-Business, Marketing or related areas, or equivalent combination of education and experience;
Challenges the status quo, and is not afraid of doing whatever needs to get done to unblock yourself and the team;
Strong capability to think strategically;
Proactive, initiative and confidential personality;
Fluent in English both verbally and written.
Video Service Engineer
What you do
Participate in the process of development and operations of video platforms (Cable, Terrestrial, IPTV, OTT, etc)
Take part in implementation and testing process of Set Top Box (STB) devices and Smart TV/OTT applications.
Hold a Standby duty (on-call) according to a rotation schedule with other colleagues from the unit.
Prepare technical reports and perform analysis of statistical report on video service related KPI-s.
What you offer
University degree in Engineering/Computer Science disciplines.
Experience with good system engineering practices and vendor engagement.
A working knowledge and experience with some of the following technologies would be an asset:
Digital video system solutions (Cable, Terrestrial, IPTV, OTT, etc.)
Working knowledge with video/audio compression formats
Video processing equipment
Basic Linux & Unix operating system knowledge
Content protection (CAS/DRM)
Basic IP network knowledge (unicast and multicast)
Video Services Intern
What you do
Assist with video equipment installation & configuration
Assist with channels reception & processing
Assist with test of latest software builds of STB
Assist with test of new application versions for OTT & Smart TV/Android TV
Track and report data from service quality monitoring platforms
What you offer
Current enrollment in a bachelor’s degree program
Prior internship experience is a plus but not required
Experience using Linux & IP networks is a plus but not required
Strong desire to learn along with professional drive
Passion for the telecommunication industry and its best practices
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Табови
д-р Катерина Здравкова
Ecoinformatics (4+1)
1. General Information
Postgraduate studies in Ecoinformatics strive for top European education and training of staff, who after graduation will be able to meet the needs of industry.
- Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
- Name of the study program: academic second cycle studies in Ecoinformatics
- Scientific-research area: technical-technological
- Field: Computer Engineering & Informatics
- Area: eco-informatics
- The value of postgraduate studies is 60 ECTS or 120 ECTS credits .
- Duration of studies: 2 or 4 semesters .
- One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
- The first semester consists of subjects, while the second has a smaller number of subjects and is reserved for the final project, ie. for the master's thesis.
- Admission Requirements : Completed undergraduate studies in the field of informatics or computer technology and informatics with a minimum of 240 credits. For study directions that carry less than 240 credits, exams offered in the introductory layer are added.
- Introductory layer : Students who have earned less than 240 credits during their studies are offered a set of differential introductory courses. After their successful realization, the student acquires the right to continue with the second year of postgraduate studies.
- First semester: 3 Mandatory courses and 2 electives, one of which may be from the University list.
- Second semester: 1 Mandatory and 1 elective, which can be from the university list (only if in the first semester the subjects are selected at the Faculty level) and a final project of 18 ECTS
- 1 ECTS credit corresponds to 30 hours of total work engagement
- The number of contact hours is 4
- The academic title or degree obtained after graduation is
- Master in Information Science and Computer Engineering in the field of Ecoinformatics
2. Studies
Table 3: List of Postgraduate Courses
| РБ | CODE / Subject | Semester | M / E | ECTS |
| 1 | EI-Z-01 Concepts in Eco-informatics | IX | M | 6 |
| 2 | EI-02 Ecological modeling | IX | M | 6 |
| 3 | EI-Z-03 Implementation of Geographic Information Systems | IX | M | 6 |
| 4 | Elective course 1 | IX | E | 6 |
| 5 | Elective 2 | IX | E | 6 |
| 6 | EI-Z-04 Knowledge Discovery in Environmental data | X | M | 6 |
| 7 | Elective course 3 | X | E | 6 |
| 8 | Master Thesis | X | M | 18 |
At least one elective should be chosen from the offered electives in Table 4. At most one of the electives can be chosen from the University list of master's degree programs. A maximum of two electives can be selected from the courses offered at the other postgraduate studies at the Faculty of Information Sciences and Computer Engineering.
Table 4: Electives
| РБ | New Code / Subject | Semester | ECTS | |
| 1 | EI-I-01 Requirements Analysis in Ecosystem informatics | IX | 6 | |
| 2 | EI-I-02 Monitoring and data processing in environmental engineering | IX | 6 | |
| 3 | ЕE-E-03 Remote sensing | X | 6 | |
| 4 | ЕE-E-04 E-business | IX | 6 | |
| 5 | ЕE-E-05 Data visualization | IX | 6 | |
| 6 | ЕE-E-06 Digital Marketing | X | 6 | |
| 7 | EI-I-07 Advanced Distributed and Parallel Systems | IX | 6 | |
| 8 | EI-I-08 Internet Infrastructure Management | IX | 6 | |
| 9 | ЕE-E-09 Smart Sensor Networks | X | 6 | |
| 10 | IT-I-10 Network Virtualization and Cloud Computing | X | 6 | |
| 11 | IT-I-11 Data Science | IX | 6 | |
| 12 | IS-I-04 Mobile web services | IX | 6 | |
| 13 | ПС-E-08 Linked Open Data | X | 6 | |
| 14 | PS-I-07 IoT for Environmental Systems | IX | 6 | |
The student can choose a subject from the list of offered elective courses from all study programs of the second cycle of studies. The list of offered electives can be found on this link .
Smart connected systems (4 + 1)
1. General Information
Postgraduate studies in smart connected systems aim to provide quality and top European education and training to ICT engineers with in-depth knowledge of smart systems connected via the Internet of Things (IoT). Upon completion of their studies, these engineers will be able to take responsible positions in the processes of planning, design, programming, management, testing and monitoring of smart IoT systems and work with various types of the latest embedded technologies, including new IoT business aspects. >
- Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
- Study Program Name: Academic Second Cycle Studies in Smart Connected Systems
- Scientific-research area: technical-technological
- Field: Computer Engineering & Informatics
- Area: Information Systems and Networks
- The value of postgraduate studies is 60 ECTS or 120 ECTS credits .
- Duration of studies: 2 or 4 semesters .
- One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
- The first semester consists of subjects, while the second has a smaller number of subjects and is reserved for the final project, ie. for the master's thesis.
- Admission Requirements : Completed undergraduate studies in the field of informatics or computer technology and informatics with a minimum of 240 credits. For study directions that carry less than 240 credits, exams offered in the introductory layer are added.
- Introductory layer : Students who have earned less than 240 credits during their studies are offered a set of differential introductory courses. After their successful realization, the student acquires the right to continue with the second year of postgraduate studies.
- First semester: 3 Mandatory courses and 2 electives, one of which may be from the University list.
- Second semester: 1 Mandatory and 1 elective, which can be from the university list (only if in the first semester the subjects are selected at the Faculty level) and a final project of 18 ECTS
- 1 ECTS credit corresponds to 30 hours of total work engagement
- The number of contact hours is 4
- The academic title or degree obtained after graduation is
- Master in Information Science and Computer Engineering in the field of smart connected systems
2. Studies
Table 3: List of Postgraduate Courses
| РБ | Subject | Semester | M / E | ECTS |
| 1 | Building the Internet of Things and Security | IX | M | 6 |
| 2 | Acquisition and data processing systems | IX | M | 6 |
| 3 | Smart City | IX | M | 6 |
| 4 | Elective | IX | E | 6 |
| 5 | Elective | IX | E | 6 |
| 6 | Developing IoT applications and IoT platforms | X | M | 6 |
| 7 | Elective | X | E | 6 |
| 8 | Master Thesis | X | M | 18 |
The following table shows the electives from the study program
Table 4: Electives
| РБ | New code / Subject | Semester | ECTS | |
| 1 | PS-I-01 Data Analysis from Related Systems | X | 6 | |
| 2 | PS-I-02 Sensory data fusion | IX | 6 | |
| 3 | ПС-E-03 Smart mobility | X | 6 | |
| 4 | PS-I-04 Smart IoT Contracts | IX | 6 | |
| 5 | PS-I-05 Smart Energy Networks | IX | 6 | |
| 6 | PS-I-06 Smart and connected healthcare | X | 6 | |
| 7 | PS-I-07 IoT for Environmental Systems | IX | 6 | |
| 8 | PS-I-08 Open & Related Data | X | 6 | |
| 9 | ПС-E-09 Smart production and monitoring systems | X | 6 | |
| 10 | PS-I-01 Smart Financial Systems and Stock Exchange | IX | 6 | |
| 11 | IT-I-01 5G: Fifth Generation Wireless Mobile Systems | IX | 6 | |
| 12 | IT-I-04 E-business | IX | 6 | |
| 13 | IT-I-11 Smart Sensor Networks | X | 6 | |
| 14 | IT-I-13 Network Virtualization and Cloud Computing | X | 6 | |
| 15 | IT-I-18 Data Science | IX | 6 | |
| 16 | EС-E-21 Sensor-robotic systems | X | 6 | |
| 17 | СE-E-01 Time series analysis and forecasting | IX | 6 | |
| 18 | EI-Z-03 Implementation of Geographic Information Systems | X | 6 | |
The student can choose a subject from the list of offered elective courses from all study programs of the second cycle of studies. The list of offered electives can be found on this link .